# caChiTest

##### caChiTest: correspondence analysis tests without resampling.

caChiTest performs 3 sets of chi-square tests along the lines of Lebart's v-tests. These tests are designed to be conservative estimates of chi-square tests on contingency data. The tests treat this data in a standard chi-square framework, but are helpful to understand correspondence analysis data when permutation and bootstrap become unfeasible.

- Keywords
- multivariate, misc , inference , correspondence analysis

##### Usage

`caChiTest(DATA, res, critical.value = 2)`

##### Arguments

- DATA
Data as would be entered for Correspondence Analysis (see

`link{epCA}`

)- res
Results from correspondence analysis (e.g., output from

`link{epCA}`

).- critical.value
numeric. A value, analogous to a z- or t-score to be used to determine significance (via bootstrap ratio).

##### Value

a list with the following values:

boolean matrix. Identifies which column items are significant (based on `critical.value`

).

chi-square values associated to column items, multiplied by the sign of their component scores ($fj).

p values associated to column items in a chi-square test.

boolean matrix. Identifies which row items are significant (based on `critical.value`

).

chi-square values associated to row items, multiplied by the sign of their component scores ($fi).

p values associated to row items in a chi-square test.

chi-square value associated to the table.

p value associated to a chi-square tests of the table.

##### See Also

*Documentation reproduced from package InPosition, version 0.12.7.1, License: GPL-2*